Triple
T22729576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trophonius |
E562094
|
entity |
| Predicate | worshipPlace |
P1191
|
FINISHED |
| Object | Lebadea |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lebadea | Statement: [Trophonius, worshipPlace, Lebadea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebadea Context triple: [Trophonius, worshipPlace, Lebadea]
-
A.
Lebadea
chosen
Lebadea is an ancient town in central Greece, historically known for the Oracle of Trophonius and its location in the region of Boeotia.
-
B.
Lebedos
Lebedos was an ancient Ionian Greek city on the western coast of Asia Minor, known as one of the twelve cities of the Ionian League.
-
C.
Berzocana
Berzocana is a small historic village in the province of Cáceres, Extremadura, Spain, known for its rural setting and archaeological heritage.
-
D.
Bélesta
Bélesta is a small commune in the Ariège department of southwestern France, known for its scenic Pyrenean foothills and nearby prehistoric caves.
-
E.
Ruesta
Ruesta is an abandoned medieval village in Aragon, Spain, known for its historic ruins and location along the Camino de Santiago.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792be7d88190b6d7d79041fcba25 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:21 p.m.